Titlebook: Implementations and Applications of Machine Learning; Saad Subair,Christopher Thron Book 2020 Springer Nature Switzerland AG 2020 Machine

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Chukwuka N. Ojiugwo,Abderazek B. Abdallah,Christopher Thronl perspective not possible with standard histological approaches. Although much of the material in this text was processed by the microdissection method, photomicrographs from conventionally cross sectioned inner ear tissues and scanning electron microscopy, are also presented. Taken together, these

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Sallam Fageeri,Rohiza Ahmad,Hitham Alhussian und H. u. L. Schilling-Stiftung) interessiert sich für die Frage, inwieweit extraoder intrakochle?re ein- oder mehrkanalige elektrische Reizungen des Innenohres zu differenzierten Nervenimpulsmustern im H?rnerven führen k?nnen. Bei sensorisch ertaubten Cochlear Implant-Patienten bestimmen die elekt

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Parallel 3-Parent Genetic Algorithm with Application to Routing in Wireless Mesh Networks,w algorithm was compared with 16 other algorithms based on 30 benchmark functions from the 2014 Congress on Evolutionary Computation test suite. P3PGA was the best-performing algorithm on 14 out of the 30 benchmark functions..We applied P3PGA to a minimal cost path routing problem in wireless mesh n

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Application of Evolutionary Algorithms to Power System Stabilizer Design,range of 0.2–3?Hz. These controllers are able to provide additional damping to enhance the overall system stability. However, conventional PSS (CPSS) performance deteriorates as the operating conditions change, and require re-tuning. It is therefore desirable to design a PSS that is robust with resp

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Automatic Sign Language Manual Parameter Recognition (I): Survey,overished Deaf community in South Africa. A major component of such a system is the ability to automatically analyse and extract sign language semantic information from SASL video, ahead of translation into English. This paper surveys past work on the automatic recognition and transcription of sign

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Computer Vision Algorithms for Image Segmentation, Motion Detection, and Classification,deling for edge detection; cross correlation template matching for shape detection; the Viola Jones model for face detection; Gaussian mixture modeling for motion detection; and the histogram of oriented gradients feature descriptor and support vector machines (including directed acyclic graph multi

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Overview of Deep Learning in Facial Recognition, neural network model based on convolutional neural networks (CNN) in the ImageNet competition in 2012, algorithms for object detection and recognition based on the so-called deep learning have attained significant improvements in performance. This success has inspired the implementation of similar